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DTSTAMP:20250110T023312Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T151300
DTEND;TZID=Asia/Tokyo:20241204T152700
UID:siggraphasia_SIGGRAPH Asia 2024_sess118_papers_473@linklings.com
SUMMARY:Chebyshev Parameterization for Woven Fabric Modeling
DESCRIPTION:Technical Papers\n\nAnnika Oehri (ETH Zürich) and Aviv Segall,
  Jing Ren, and Olga Sorkine-Hornung (ETH Zurich)\n\nDistortion-minimizing 
 surface parameterization is an essential step for computing 2D pieces nece
 ssary to fabricate a target 3D shape from flat material. Garment design an
 d textile fabrication are a prominent application example. Common distorti
 on measures quantify length, angle or area preservation in an isotropic ma
 nner, so that when applied to woven textile fabrication, they implicitly a
 ssume fabric behaves like paper, which is inextensible in all directions a
 nd does not permit shearing. However, woven fabric differs significantly f
 rom paper: it exhibits anisotropy along the yarn directions and allows for
  some degree of shearing. We propose a novel distortion energy based on Ch
 ebyshev nets that anisotropically penalizes shearing and stretching. Our e
 nergy formulation can be used as an optimization objective for surface par
 ameterization and is simple to minimize via a local-global algorithm. We d
 emonstrate its advantages in modeling nets or woven fabric behavior over t
 he commonly used isotropic distortion energies.\n\nRegistration Category: 
 Full Access, Full Access Supporter\n\nLanguage Format: English Language\n\
 nSession Chair: Meng Zhang (Nanjing University of Science and Technology)
URL:https://asia.siggraph.org/2024/program/?id=papers_473&sess=sess118
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